International Journal of Mechanical Engineering and Robotics Research最新文献_第6页

Properties and Rheological Behavior of Nano-Sized Cemented Carbide Injection Molding Feedstocks with Different Percentages of Grain Growth Inhibitor 不同晶粒生长抑制剂含量对纳米硬质合金注射料性能及流变行为的影响

International Journal of Mechanical Engineering and Robotics Research Pub Date : 2023-01-01 DOI: 10.18178/ijmerr.7.4.338-342

Prathabrao Muniandy, S. Amin, M. Ibrahim

引用次数: 0

Changes in Thickness and Gloss of Dry Films According to Spray Methods of Water-Soluble Metallic Base Coat 水溶性金属底漆喷涂方法对干膜厚度和光泽度的影响

International Journal of Mechanical Engineering and Robotics Research Pub Date : 2023-01-01 DOI: 10.18178/ijmerr.12.6.396-400

Woonsang Lee, Haeng Muk Cho

{"title":"Changes in Thickness and Gloss of Dry Films According to Spray Methods of Water-Soluble Metallic Base Coat","authors":"Woonsang Lee, Haeng Muk Cho","doi":"10.18178/ijmerr.12.6.396-400","DOIUrl":"https://doi.org/10.18178/ijmerr.12.6.396-400","url":null,"abstract":"—The distance between the object and the spray gun and the degree of coating overlap due to the spray distance must be optimized for achieving a uniform coating using a spray gun. Moreover, the paint sprayed from a spray gun is thicker at the center of the object to be painted and thinner toward the edges due to the difference in density. Therefore, the thickness of the paint according to the spray distance should be considered. In this study, a Three-Dimensional (3D) painting robot specially designed to spray paint under certain conditions was used to investigate the spray characteristics of the spray gun and the thickness and glossiness of dry films according to the spray distance and moving speed. Under the standard coating conditions for automotive refinishing, the optimum distance between the object to be coated and the spray gun is approximately 12–15 cm, and the speed of the spray gun is about 0.4–0.5 m/s. If the spray distance is small, the coating film will be thick, and the resin ratio will be high, with metallic particles embedded in the resin, resulting in low glossiness. The metallic particles are exposed on the coated surface at a larger distance, increasing the glossiness.","PeriodicalId":37784,"journal":{"name":"International Journal of Mechanical Engineering and Robotics Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134888200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Adaptive Fuzzy Dynamic Surface Control Tracking Algorithm for Mecanum Wheeled Mobile Robot 轮式机械机器人自适应模糊动态面控制跟踪算法

International Journal of Mechanical Engineering and Robotics Research Pub Date : 2023-01-01 DOI: 10.18178/ijmerr.12.6.354-361

Dong Nguyen Minh, Hiep Do Quang, Nam Dao Phuong, Tien Ngo Manh, Duy Nam Bui

引用次数: 0

Fuzzy Logic Control for Mobile Robot Navigation in Automated Storage 自动化仓储中移动机器人导航的模糊控制

International Journal of Mechanical Engineering and Robotics Research Pub Date : 2023-01-01 DOI: 10.18178/ijmerr.12.5.313-323

Chadi F. Riman, Pierre E. Abi-Char

{"title":"Fuzzy Logic Control for Mobile Robot Navigation in Automated Storage","authors":"Chadi F. Riman, Pierre E. Abi-Char","doi":"10.18178/ijmerr.12.5.313-323","DOIUrl":"https://doi.org/10.18178/ijmerr.12.5.313-323","url":null,"abstract":"—Automated Storage (AS) are designed to store and retrieve products in specific locations within manufacturing, warehouses, institutions, and others. These AS involve the usage of robots to move the stored items in and out of the warehouse. However, a challenge for AS systems is to solve the path planning for finding shortest path in a minimum amount of time while avoiding collisions with other robots or static obstacles. Fuzzy Logic systems are widely used in several application areas requiring mimicking the human decision logic under uncertainty. In this paper, we proposed an Automated Storage (AS) robot navigation by using three Fuzzy subsystems combined together to ensure path planning with obstacle avoidance. These three fuzzy subsystems are: Reach Target, Avoid Obstacle, and Escape Cul-De-sac. Therefore, fuzzy rules are employed along with the corresponding defuzzication process to control left and right wheel movement steps of the robot. These systems achieve reaching the goal (using the first subsystem) while avoiding different obstacles on the way (using the second subsystem), even the ones that form a trap (using the third subsystem). These three systems will be used for path planning and following. The overall model was simulated using C# code. The initial results showed the effectiveness of the model in different scenarios: namely no obstacles, static ones, traps, and dynamic obstacles. The path length was comparable to that of traditional shortest path methods such as Dijkstra and A*. The results were also compared to a newer method called APSO. The system’s response was quick due to the fewer needed instructions and reduced memory storage needs. All this was done assuming a constant speed for robots and dynamic obstacles.","PeriodicalId":37784,"journal":{"name":"International Journal of Mechanical Engineering and Robotics Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136207600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improving the Efficiency of a Conveyor System in an Automated Manufacturing Environment Using a Model-Based Approach 利用基于模型的方法提高自动化制造环境中输送系统的效率

International Journal of Mechanical Engineering and Robotics Research Pub Date : 2023-01-01 DOI: 10.18178/ijmerr.12.2.107-112

G. Salawu, Bright Glen

引用次数: 0

Forecasting Cutting Force by Using Artificial Neural Networks Based on Experiments of Turning Aluminum 基于车削铝试验的人工神经网络切削力预测

International Journal of Mechanical Engineering and Robotics Research Pub Date : 2023-01-01 DOI: 10.18178/ijmerr.12.6.410-416

Dawood S. Mahjoob, Ahmad A. Khalaf, Muammel M. Hanon

{"title":"Forecasting Cutting Force by Using Artificial Neural Networks Based on Experiments of Turning Aluminum","authors":"Dawood S. Mahjoob, Ahmad A. Khalaf, Muammel M. Hanon","doi":"10.18178/ijmerr.12.6.410-416","DOIUrl":"https://doi.org/10.18178/ijmerr.12.6.410-416","url":null,"abstract":"—The cutting force of the aluminum workpiece was forecasted using the Artificial Neural Networks (ANNs) methodology in this study. Two ANN structures, one with a single hidden layer and the other with a double hidden layer, were constructed using MATLAB codes. The Levenberg-Marquardt back-propagation technique served as the training algorithm, employing a sigmoidal transfer function in the hidden layer and a purline transfer function in the output layer. The performance of the ANN models was assessed using Mean Squared Error (MSE) and coefficient of determination (R 2 ). The experimental findings revealed that the cutting speed, feed rate, and depth of cut significantly influenced the cutting force. The optimal number of neurons in both single and double hidden layers was determined to be 6. The validation stage achieved the best performance with an MSE of approximately 0.002747 for a single layer and 0.00144 for double hidden layers, both at epoch 5. In conclusion, both ANN structures demonstrated the capability to predict cutting force, with a preference for the double hidden layer structure.","PeriodicalId":37784,"journal":{"name":"International Journal of Mechanical Engineering and Robotics Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134888254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Numerical Evaluation of Roughness Influences on Open Water Propeller Characteristics Using RANSE Method 粗糙度对开阔水域螺旋桨特性影响的range法数值评价

International Journal of Mechanical Engineering and Robotics Research Pub Date : 2022-01-01 DOI: 10.18178/ijmerr.11.1.15-21

Vu Ngoc Bich, N. Hoa

引用次数: 3

Fundamental Wear and Treatment Investigations of Laser-Coated Pump Parts 激光涂层泵件基本磨损及处理研究

International Journal of Mechanical Engineering and Robotics Research Pub Date : 2022-01-01 DOI: 10.18178/ijmerr.11.3.166-173

A. Purvee, Gunther C. Stehr, Battsengel Baatar, P. Batkhuu

{"title":"Fundamental Wear and Treatment Investigations of Laser-Coated Pump Parts","authors":"A. Purvee, Gunther C. Stehr, Battsengel Baatar, P. Batkhuu","doi":"10.18178/ijmerr.11.3.166-173","DOIUrl":"https://doi.org/10.18178/ijmerr.11.3.166-173","url":null,"abstract":"This paper describes the technologies and results from a study to investigate a suitable means to protect high chromium white cast iron from further wear. This work focuses on the precondition for the feasibility testing of laser cladding with metal matrix composite powders for the wear protection of impeller blades of slurry pumps. Investigations of selected powder mixtures and different treatment parameter setups were conducted using test plates. During the process of laser cladding the pumps, factors affecting success included: the very raw surface quality of the blades; very high tolerances of the parts; possible defects within the cast iron substrate; and general weldability of the cast iron material due to chemical composition. In comparison between the part surfaces as cast and after the cleaning using sandblasting, the measurements show strong differences in the chemical composition. The measurement results are strongly dependent on the measurement position, surface condition, and laser power. Based on our results, an industrial trial was conducted to compare the wear behavior of the claddings with untreated high chromium white cast iron. An evaluation of the lifetime of the laser-coated pump parts in the mineral processing industry is underway, which results will be published separately. ","PeriodicalId":37784,"journal":{"name":"International Journal of Mechanical Engineering and Robotics Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67496451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Vision-based Correction of Inertial Measurement of Human Motion for Robot Programming by Demonstration 基于视觉的人体运动惯性测量校正方法在机器人编程中的演示

International Journal of Mechanical Engineering and Robotics Research Pub Date : 2022-01-01 DOI: 10.18178/ijmerr.11.6.411-416

Robin Pellois, O. Brüls

引用次数: 1

Unmanned Aerial Vehicles Sensor-Based Detection Systems Using Machine Learning Algorithms 使用机器学习算法的无人机传感器检测系统

International Journal of Mechanical Engineering and Robotics Research Pub Date : 2022-01-01 DOI: 10.18178/ijmerr.11.9.662-668

Romil S. Al-Adwan, Osama, O., M. Al-Habahbeh

{"title":"Unmanned Aerial Vehicles Sensor-Based Detection Systems Using Machine Learning Algorithms","authors":"Romil S. Al-Adwan, Osama, O., M. Al-Habahbeh","doi":"10.18178/ijmerr.11.9.662-668","DOIUrl":"https://doi.org/10.18178/ijmerr.11.9.662-668","url":null,"abstract":"— Detecting Unmanned Aerial Vehicles (UAVs), also known as drones, is becoming more difficult as technologies keep advancing. The low price, smaller size, and high speed of UAVs make them hard to detect. The goal of this study is to critically review and evaluate the UAVs sensor-based detection systems using Machine Learning (ML) algorithms. The study reviews several sensor-based detection systems (acoustic, thermal infra-red, radio frequency, and radar), and makes recommendations for future enhancements using machine learning-based techniques. One of the findings of this study is the small amount of data used by researchers, due to the lack of publicly available datasets, which added limitations to the research and may have produced inaccurate results. Another important finding is the closed environments (labs) that most researchers have conducted their research in, which are far from real case scenarios. Finally, this research makes recommendations on how to improve the process and obtain more accurate results. Classification and identification of UAVs are beyond the scope of this paper.","PeriodicalId":37784,"journal":{"name":"International Journal of Mechanical Engineering and Robotics Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67497080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1